The ideal data governance solution in 3 steps
Data governance, a major axis of data-driven business transformation, is the cause of many malfunctions and errors during data governance transformation projects. DataGalaxy’s data governance solution is a platform designed to support data teams in the success of their projects and in the transformation of their collaborative work methods. The approach is defined on two inseparable axes: defining the data cultural maturity of its teams and implementing agile data governance, because without collaboration and common culture, the project will not succeed.
Why increase the knowledge of your data?
Knowledge of your data is critical to the success of a data governance project.
The first step is to start the inventory and increase the knowledge of your data assets, in order to get out of the Data Swamp trap. The implementation of well-defined data governance rules is essential. Above all, they must be actionable, and data governance must be pragmatic.
By relying on a platform like DataGalaxy, your technical and business teams will collaborate and work together to map and inventory your data assets, in order to ultimately govern them.
Why develop a data culture?
Developing the data maturity of your teams is a crucial step in the success of any data governance project. The acculturation of all employees must be carried out, to accompany the data-driven transformation of the organization, so that everyone identifies their role, their scope and their needs in terms of data.
The data culture is built together, it is a collective project through agile iteration and the sharing of practices.
Which platform for data governance?
A 360° data governance platform must answer the following questions about your data: What is it? What is it? What is it where? How is it calculated? Why is it done?
The data dictionary
The data dictionary allows you to make an inventory and, above all, to give a context to the knowledge of your data. With a collaborative mapping of your data at your disposal, there is no more room for misunderstanding.
It catalogs your sources, treatments, and structures and provides teams with a glossary to understand the meaning of the data and trace their uses. The data dictionary lists the knowledge of your data, wherever it is stored, in an easy-to-access, simple and collaborative environment.
The business glossary
A business glossary is a great way to keep track of your business data and, more importantly, share common definitions of the terminologies used in business services. An important knowledge base, the business glossary allows teams to define and maintain the definition of their company’s data. This business glossary has become the common reference that everyone can use to work independently on their subjects. Employees discover, understand and integrate the specific challenges of the data circulating in their department, right down to the overall organization.
The processing catalog
The accumulation of data in companies complicates visibility into them. Where is it stored, but more importantly, what is it used for? The processing catalog enables collaboration to describe and specify data processing in a collaborative and agile environment. The treatments and transformation rules applied to the data are stored in the platform, freely accessible by users.
The clear advantage of a catalog referencing your processes is that it allows you to trace the path of data, from their input to their output from the data manipulation chains.
The use catalog
The use catalog is the ideal tool to identify and share application assets and dashboards. With an information system that is becoming complex, teams are developing new uses on a daily basis, making them more difficult to understand.
The use catalog is the perfect tool for mastering the knowledge of these uses. Teams, therefore, have a single repository at their disposal to contextualize the origin of the data. It becomes the essential reference for accessing or analyzing the impact of a change in usage.
How does data governance help your data teams?
Data governance won’t just happen in your organization by snapping your fingers or imposing it. The best way to build a data-driven culture is to engage your people in a long-term, bottom-up approach. Teams have the knowledge of data, they have the expertise and the ideas to make the most of it.
The search engine
What would be the point of a data governance platform without a search engine?
The search engine is an essential element for an effective data governance solution. All data knowledge is indexed and accessible with a simple click, you search, you find. Whether it’s a data source, a definition, a use or a treatment, every employee will have the answer to his questions. This is all the more important since most data teams spend more than 50% of their time searching for data. Between the different internal tools, technologies and spreadsheets, finding the right information becomes an obstacle course. The search engine is therefore critical to any data governance strategy.
Data lineage
Data lineage is important for analyzing the path of the data from end to end. They enable us to control the risks associated with usage.With these visual analyses, each employee has the possibility to explore the risks of the modifications he or she can make. They have access to the appropriate lines to locate and trace the transformation path of a data or a use.
Collaboration for agile data governance
Without collaboration and agility, data governance will be painfully difficult or simply not happen. Deploying a collaborative platform for data governance is a challenge that needs to be addressed. It’s a process that takes time, investment and commitment from everyone, but it will benefit everyone in the organization. With data scattered throughout the organization, teams cannot be as productive and innovative as they could be. Not having a clear vision of their data, rules and practices is not desirable and this must be remedied. That’s what data governance is all about.
With DataGalaxy, you have the first platform designed to support agile collaboration around data governance.
